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This individual will be a part of the Global AML Risk Insights team which serves as the end-to-end feedback loop for Citi’s AML Compliance program as well as a driver of credible challenge for the existing control environment. They will support the team with identification of existing and emerging risks through data analysis, utilizing various tools and techniques, to identify key risk trends and insights and supporting with various targeted data reviews outside of existing controls to identify potential risks.
Job Responsibility:
Collect, normalize, and analyze large sets of data from various source systems across different functions of the bank with the ability to apply quantitative and qualitative data analysis methods
Validate the data being utilized to identify data quality issues (if any), and work with Technology to address them
Identify relationships and trends in data, as well as any factors that could affect the results of research. Escalate identified risks and sensitive areas in terms of methodology and processes
Design, develop and improve process to automate the end-to-end analytics cycle from source data to final deliverable for senior management
Collaborate with cross-functional stakeholders to develop, design, and execute data-drive solutions to problem solve
Demonstrate ability to continuously learn and provide value in a dynamic environment
Managing the day-to-day aspects of the program
Requirements:
5+ years relevant professional experience, preferably in financial services industry or in a role directly supporting financial industry
Strong critical thinking for insights and solutions
Strong presentation skills with the ability to articulate complex problems and solutions through concise and clear messaging
Ability to work collaboratively with cross-functional units
ability to navigate a complex matrix environment
Experience in Data Analysis, including utilizing Big Data, Artificial Intelligence, and Business Intelligence solutions, along with extensive analytical programming techniques
Strong fluency in Python /SAS and Microsoft Office applications, particularly Excel and PowerPoint
Ability to manipulate data using SQL or equivalent
Experience with Tableau and/or other BI Analytics toolsets (Tableau Preferred)
Proven ability to work independently and be a self-starter
Bachelor's degree or equivalent required
Nice to have:
Knowledge of the local/regional laws and regulations applicable to anti-money laundering a plus
ACAMS Certification a plus
advanced degree a plus
familiarity with DB Visualizer is a plus
What we offer:
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
discretionary and formulaic incentive and retention awards